README.md

LLAMA 7B Sentiment Analysis Adapter

Explore the capabilities of sentiment analysis with our LLAMA 7B Sentiment Analysis Adapter. This repository showcases the application of the LORA (Low-Rank Adaptation) technique and the Peft library to enhance the sentiment analysis capabilities of the existing LLAMA 7B model.

Adapter Description

Our adapter applies the LORA technique to the LLAMA 7B model, facilitating improved sentiment analysis. This work demonstrates the potential of adapting advanced models to specific tasks, such as extracting nuanced sentiment from textual data.

Training Methodology

The adapter has been trained using the Amazon Sentiment Review dataset, which includes several million customer reviews from Amazon, each with a corresponding star rating. This training allows the adapter to better understand and interpret a broad range of consumer sentiments.

Dataset Overview

The Amazon Sentiment Review dataset was chosen for its size and its realistic representation of customer feedback. It serves as an excellent basis for training models to perform sentiment analysis in real-world scenarios.